Abstract

We present a novel Web search interaction feature which, for a given query, provides links to websites frequently visited by other users with similar information needs. These popular destinations complement traditional search results, allowing direct navigation to authoritative resources for the query topic. Destinations are identified using the history of search and browsing behavior of many users over an extended time period, whose collective behavior provides a basis for computing source authority. We describe a user study which compared the suggestion of destinations with the previously proposed suggestion of related queries, as well as with traditional, unaided Web search. Results show that search enhanced by destination suggestions outperforms other systems for exploratory tasks, with best performance obtained from mining past user behavior at query-level granularity.

Citations

1216	Term-weighting approaches in automatic text retrieval - Salton, Buckley - 1988
235	Analysis of a very large web search engine query log - Silverstein, Marais, et al. - 1999
165	Improving web search ranking by incorporating user behavior information - Agichtein, Brill, et al. - 2006
151	A case for interaction: a study of interactive information retrieval behavior and effectiveness - Koenemann, Belkin - 1996
138	Footprints: history-rich tools for information foraging - Wexelblat, Maes - 1999
124	Generating query substitutions - Jones, Rey, et al. - 2006
119	Query chains: Learning to rank from implicit feedback - Radlinski, Joachims - 2005
83	Using terminological feedback for web search refinement: a log-based study - Anick - 2003
82	Orienteering in an information landscape: how information seekers get from here to there. INTERCHI - O’Day, Jeffries - 1993
67	Experimental components for the evaluation of interactive information retrieval systems - Borlund - 2000
50	Investigating behavioral variability in web search - White, Drucker - 2007
46	Adaptive Web navigation for wireless devices - Anderson, Domingos, et al.
28	Exploiting Query Repetition and Regularity in an Adaptive Community-Based Web Search Engine. User Modeling and User-Adapted Interaction - Smyth, Balfe, et al.
27	Experiments with interfaces to support query expansion - Beaulieu
26	Models of searching and browsing: Languages, studies, and applications - Downey, Dumais, et al. - 2007
23	Experience with an adaptive indexing scheme - Furnas - 1985
21	Examining the effectiveness of real-time query expansion - White, Marchionini - 2006
20	US versus European Web searching trends - Spink, Ozmutlu, et al. - 2002
16	Multitasking during web search sessions - Spink, Park, et al. - 2006
14	The TREC interactive tracks: Putting the user into search - Dumais, Belkin - 2005
3	Harabagiu: FERRET: Interactive QuestionAnswering for Real-World Environments - Hickl, Wang, et al. - 2006